H Le, C Smailis, L Shi… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Surveillance-related datasets that have been released in recent years focus only on one specific problem at a time (eg, pedestrian detection, face detection, or face recognition) …
K Vuong, R Tamburo… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Despite the widespread deployment of outdoor cameras, their potential for automated analysis remains largely untapped due, in part, to calibration challenges. The absence of …
Cameras are everywhere, and are increasingly coupled with video analytics software that can identify our face, track our mood, recognize what we are doing, and more. We present …
The increased adoption of smart home cameras (SHCs) foregrounds issues of surveillance, power, and privacy in homes and neighborhoods. However, questions remain about how …
In the aftermath of the 15 April 2013 Boston Marathon bombing, investigators found themselves with massive amounts of data from surveillance video cameras, but they …
H Wu, Q Zeng, C Guo, T Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In large-scale surveillance of urban or rural areas, an effective placement of cameras is critical in maximizing surveillance coverage or minimizing economic cost of cameras …
Transportation agencies often own extensive networks of monocular traffic cameras, which are typically used for traffic monitoring. However, the information captured by such cameras …
S Das, A Nag, D Adhikary, RJ Ram, A BR… - arXiv preprint arXiv …, 2021 - arxiv.org
Social distancing has been suggested as one of the most effective measures to break the chain of viral transmission in the current COVID-19 pandemic. We herein describe a …
K Wu, B Lagesse - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Small, low-cost, wireless cameras are becoming increasingly commonplace making surreptitious observation of people more difficult to detect. Previous work in detecting hidden …